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三联标志物增殖指数可预测前列腺癌手术后的生化复发。

A tri-marker proliferation index predicts biochemical recurrence after surgery for prostate cancer.

机构信息

Department of Urology, Stanford University, Stanford, California, United States of America.

出版信息

PLoS One. 2011;6(5):e20293. doi: 10.1371/journal.pone.0020293. Epub 2011 May 23.

Abstract

Prostate cancer exhibits tremendous variability in clinical behavior, ranging from indolent to lethal disease. Better prognostic markers are needed to stratify patients for appropriately aggressive therapy. By expression profiling, we can identify a proliferation signature variably expressed in prostate cancers. Here, we asked whether one or more tissue biomarkers might capture that information, and provide prognostic utility. We assayed three proliferation signature genes: MKI67 (Ki-67; also a classic proliferation biomarker), TOP2A (DNA topoisomerase II, alpha), and E2F1 (E2F transcription factor 1). Immunohistochemical staining was evaluable on 139 radical prostatectomy cases (in tissue microarray format), with a median clinical follow-up of eight years. Each of the three proliferation markers was by itself prognostic. Notably, combining the three markers together as a "proliferation index" (0 or 1, vs. 2 or 3 positive markers) provided superior prognostic performance (hazard ratio = 2.6 (95% CI: 1.4-4.9); P = 0.001). In a multivariate analysis that included preoperative serum prostate specific antigen (PSA) levels, Gleason grade and pathologic tumor stage, the composite proliferation index remained a significant predictor (P = 0.005). Analysis of receiver-operating characteristic (ROC) curves confirmed the improved prognostication afforded by incorporating the proliferation index (compared to the clinicopathologic data alone). Our findings highlight the potential value of a multi-gene signature-based diagnostic, and define a tri-marker proliferation index with possible utility for improved prognostication and treatment stratification in prostate cancer.

摘要

前列腺癌在临床行为上表现出巨大的变异性,从惰性到致命疾病不等。需要更好的预后标志物来对患者进行适当的强化治疗分层。通过表达谱分析,我们可以识别出在前列腺癌中表达不同的增殖特征。在这里,我们想知道一个或多个组织生物标志物是否可以捕捉到这些信息,并提供预后效用。我们检测了三个增殖特征基因:MKI67(Ki-67;也是经典的增殖生物标志物)、TOP2A(DNA 拓扑异构酶 II,α)和 E2F1(E2F 转录因子 1)。对 139 例根治性前列腺切除术病例(组织微阵列格式)进行了免疫组织化学染色,中位临床随访时间为 8 年。这三个增殖标志物本身就是预后标志物。值得注意的是,将这三个标志物组合在一起作为“增殖指数”(0 或 1 与 2 或 3 个阳性标志物)提供了更好的预后性能(风险比=2.6(95%CI:1.4-4.9);P=0.001)。在包括术前血清前列腺特异性抗原(PSA)水平、Gleason 分级和病理肿瘤分期的多变量分析中,复合增殖指数仍然是一个显著的预测因子(P=0.005)。接受者操作特征(ROC)曲线分析证实,纳入增殖指数可提供更好的预后预测(与单独临床病理数据相比)。我们的研究结果强调了基于多基因特征的诊断的潜在价值,并定义了一个三标志物增殖指数,可能有助于改善前列腺癌的预后预测和治疗分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bfe/3100337/76db24c0a045/pone.0020293.g001.jpg

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